Faculty

Institution

Unit

Venue

Jaime A. Camelio

Virginia Tech

Affiliations

College of Engineering

Industrial and Systems Engineering

NoneJaime A. Camelio is currently serving as a College Of Engineering faculty at Virginia Tech.

Honors

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Experiences

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Education

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Jaime A. Camelio

Virginia Tech

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engineering manufacturing systems engineering mechanical engineering manufacturing technology technology manufacturing science computer security advanced manufacturing technologies manufacturing systems manufacturing engineering digital manufacturing smart manufacturing materials engineering reliability engineering quality engineering quality management additive manufacturing quality assurance information technology production engineering automated manufacturing fault diagnosis cyber-physical systems information security information science industrial informatics sustainable manufacturing condition monitoring fault detection fault analysis engineering research sustainable production production research data security sustainable process quality control automated inspection information engineering cyber-physical vulnerabilities additive manufacturing systems image data cyber-physical vulnerability assessment cyber-physical attacks product lifecycle production systems designated component analysis compliant parts variation propagation statistical process control quality technology precision engineering safety science information visualization processing and manufacturing manufacturing planning case studies iot security interactive multimedia industrial automation computer-aided manufacturing tool wear control engineering performance monitoring system monitoring reliability management production technologies linked data visualization surface processing surface engineering occupational safety authentication authorization descriptive metrics cyber-physical security challenges human subjects case study attack

Notable Scholarly Works

Notable Federal Grants

Collaborators

Decoding the Silent Language: A Framework for Advanced Visual Emotion Recognition to Enhance Worker Well-Being on Iiot-Enabled Manufacturing. Manufacturing Letters (2024)

Niloofar RezaeiSeyed Alireza VaeziJaime A. Camelio

worker well-beingiiot-enabled manufacturingtechnologymanufacturing

Enhancing Manufacturing Operations With Synthetic Data: A Systematic Framework for Data Generation, Accuracy, and Utility. Frontiers in Manufacturing Technology (2024)

Vishnupriya BuggineniCheng ChenJaime Camelio

data generationsynthetic datadata sciencemanufacturingsystematic frameworkmanufacturing technology

Reinforcement Learning for Fuselage Shape Control During Aircraft Assembly. IISE Transactions (2024)

Tim LutzYinan WangXiaowei YueJaime Camelio

aircraftsystems engineeringcontrol optimizationreinforcement learningshape optimizationaircraft design processaerospace engineeringfuselage shape controlaerospaceaircraft assemblylearning control

Introducing Randomness Into Univariate Control Chart Sampling Strategies for Enhancing Security Against Cyber‐Physical Attacks in Production Systems. Quality and Reliability Engineering International (2023)

Ahmad E. ElhabashyLee J. WellsJaime A. Camelio

production systemsquality managementcyber-physical systemsquality assurancecyber-physical attacksreliability engineeringsamplingquality engineeringunivariate control chartreliabilitystatistics

Modeling In-Process Machining Data Using Spatial Point Cloud vs. Time Series Data Structures. Procedia Manufacturing (2021)

Mohammed S. ShafaeLee J. WellsJaime A. Camelio

data modelingspatial point cloudengineeringin-process machining data

A Novel Nurbs Surface Approach to Statistically Monitor Manufacturing Processes With Point Cloud Data. Journal of Intelligent Manufacturing (2020)

Lee J. WellsRomina DastoorianJaime A. Camelio

manufacturing processesdata scienceanalyticspoint cloud dataprocess monitoringstatistics

Cyber-Physical Attack Vulnerabilities in Manufacturing Quality Control Tools. Quality Engineering (2020)

Ahmad E. ElhabashyLee J. WellsJaime A. Camelio

computer securityquality engineeringengineering

Random Sampling Strategies for Multivariate Statistical Process Control to Detect Cyber-Physical Manufacturing Attacks. Quality Engineering (2020)

Ahmad E. ElhabashyRomina DastoorianLee J. WellsJaime A. Camelio

cyber-physical manufacturing attacksquality managementquality assuranceprocess controlquality engineeringstatistics

Cyber-Physical Security Research Efforts in Manufacturing – a Literature Review. Procedia Manufacturing (2019)

Ahmad E. ElhabashyLee J. WellsJaime A. Camelio

literature reviewtechnologymanufacturing

Method for Enabling a Root of Trust in Support of Product Data Certification and Traceability. Journal of Computing and Information Science in Engineering (2019)

Thomas D. HedbergSylvere KrimaJaime A. Camelio

product data certificationdata trustsystems engineeringengineeringengineering sciencedata securitytrusttechnologyinformation engineeringinformation securityinformation technologyinformation science

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Jaime A. Camelio

Virginia Tech

Affiliations

College of Engineering

Industrial and Systems Engineering

NoneJaime A. Camelio is currently serving as a College Of Engineering faculty at Virginia Tech.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jaime A. Camelio

Virginia Tech

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Decoding the Silent Language: A Framework for Advanced Visual Emotion Recognition to Enhance Worker Well-Being on Iiot-Enabled Manufacturing. Manufacturing Letters (2024)

Niloofar RezaeiSeyed Alireza VaeziJaime A. Camelio

worker well-beingiiot-enabled manufacturingtechnologymanufacturing

Enhancing Manufacturing Operations With Synthetic Data: A Systematic Framework for Data Generation, Accuracy, and Utility. Frontiers in Manufacturing Technology (2024)

Vishnupriya BuggineniCheng ChenJaime Camelio

data generationsynthetic datadata sciencemanufacturingsystematic frameworkmanufacturing technology

Reinforcement Learning for Fuselage Shape Control During Aircraft Assembly. IISE Transactions (2024)

Tim LutzYinan WangXiaowei YueJaime Camelio

aircraftsystems engineeringcontrol optimizationreinforcement learningshape optimizationaircraft design processaerospace engineeringfuselage shape controlaerospaceaircraft assemblylearning control

Ahmad E. ElhabashyLee J. WellsJaime A. Camelio

production systemsquality managementcyber-physical systemsquality assurancecyber-physical attacksreliability engineeringsamplingquality engineeringunivariate control chartreliabilitystatistics

Modeling In-Process Machining Data Using Spatial Point Cloud vs. Time Series Data Structures. Procedia Manufacturing (2021)

Mohammed S. ShafaeLee J. WellsJaime A. Camelio

data modelingspatial point cloudengineeringin-process machining data

A Novel Nurbs Surface Approach to Statistically Monitor Manufacturing Processes With Point Cloud Data. Journal of Intelligent Manufacturing (2020)

Lee J. WellsRomina DastoorianJaime A. Camelio

manufacturing processesdata scienceanalyticspoint cloud dataprocess monitoringstatistics

Cyber-Physical Attack Vulnerabilities in Manufacturing Quality Control Tools. Quality Engineering (2020)

Ahmad E. ElhabashyLee J. WellsJaime A. Camelio

computer securityquality engineeringengineering

Random Sampling Strategies for Multivariate Statistical Process Control to Detect Cyber-Physical Manufacturing Attacks. Quality Engineering (2020)

Ahmad E. ElhabashyRomina DastoorianLee J. WellsJaime A. Camelio

cyber-physical manufacturing attacksquality managementquality assuranceprocess controlquality engineeringstatistics

Cyber-Physical Security Research Efforts in Manufacturing – a Literature Review. Procedia Manufacturing (2019)

Ahmad E. ElhabashyLee J. WellsJaime A. Camelio

literature reviewtechnologymanufacturing

Method for Enabling a Root of Trust in Support of Product Data Certification and Traceability. Journal of Computing and Information Science in Engineering (2019)

Thomas D. HedbergSylvere KrimaJaime A. Camelio

product data certificationdata trustsystems engineeringengineeringengineering sciencedata securitytrusttechnologyinformation engineeringinformation securityinformation technologyinformation science

1
2
3
4
5
8
10 / page

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